Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = -1.6 * weight + 141
This means that on average for every extra kilogram weight a rider loses -1.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MERCKX Eddy | 74 |
| 5 | BRACKE Ferdinand | 79 |
| 7 | ELORRIAGA Javier Francisco | 85 |
| 11 | ROSIERS Roger | 78 |
| 13 | SWERTS Roger | 75 |
| 19 | VIEJO José Luis | 64 |
| 20 | KARSTENS Gerben | 74 |
| 31 | HUELAMO Jaime | 61 |
| 35 | TAMAMES Agustín | 66 |
| 52 | SCHLECK Johny | 72 |
| 54 | DÍAZ Ventura | 72 |
| 67 | PARENTEAU Jean-Pierre | 68 |